LlamaIndex and Cohere's Models
Prerequisite
To use LlamaIndex and Cohere, you will need:
- LlamaIndex Package. To install it, run:
pip install llama-index
pip install llama-index-llms-cohere
(to use the Command models)pip install llama-index-embeddings-cohere
(to use the Embed models)pip install llama-index-postprocessor-cohere-rerank
(to use the Rerank models)
- Cohereโs SDK. To install it, run
pip install cohere
. If you run into any issues or want more details on Cohereโs SDK, see this wiki. - A Cohere API Key. For more details on pricing see this page. When you create an account with Cohere, we automatically create a trial API key for you. This key will be available on the dashboard where you can copy it, and itโs in the dashboard section called โAPI Keysโ as well.
Cohere Chat with LlamaIndex
To use Cohereโs chat functionality with LlamaIndex create a Cohere model object and call the chat
function.
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Cohere Embeddings with LlamaIndex
To use Cohereโs embeddings with LlamaIndex create a Cohere Embeddings object with an embedding model from this list and call get_text_embedding
.
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Cohere Rerank with LlamaIndex
To use Cohereโs rerank functionality with LlamaIndex create a Cohere Rerank object and use as a node post processor.
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Cohere RAG with LlamaIndex
The following example uses Cohereโs chat model, embeddings and rerank functionality to generate a response based on your data.
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Cohere Tool Use (Function Calling) with LlamaIndex
To use Cohereโs tool use functionality with LlamaIndex, you can use the FunctionTool
class to create a tool that uses Cohereโs API.
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